Junyu Chen

The paper identifies inflammation-related proteins associated with age, sex, and CD4+ cell count in HIV-positive individuals in South Africa, highlighting potential links to chronic diseases.

The paper introduces a pruning and thresholding method for methylation risk scores to improve prediction across multi-ancestry populations, showing better performance than simple thresholding.

This paper introduces BFGWAS_QUANT, a scalable Bayesian functional GWAS method that improves variant prioritization in Alzheimer's disease by integrating multivariate quantitative annotations.

This paper introduces BGW-TWAS, a Bayesian method for transcriptome-wide association studies that incorporates both cis- and trans-eQTL information, improving power and identifying novel associations with Alzheimer's disease.

The paper identifies the molecular signature of MrgprA3+ neurons and their unique response to dermatitis, revealing novel markers and mechanisms of itch sensation.